探討大腦振盪在前額葉經顱磁刺激治療 難治型憂鬱症的關鍵角色

、線上人數：26

、訪客IP：3.22.250.25

姓名	蔡怡君(Yi-Chun Tsai) 查詢紙本館藏	畢業系所	認知與神經科學研究所
論文名稱	探討大腦振盪在前額葉經顱磁刺激治療難治型憂鬱症的關鍵角色 (The investigation of the critical role of brain oscillations in prefrontal repetitive transcranial magnetic stimulation for treatment-resistant depression)
檔案	[Endnote RIS 格式] [Bibtex 格式] [相關文章] [文章引用] [完整記錄] [館藏目錄] 至系統瀏覽論文 (2028-8-1以後開放)
摘要(中)	重覆性經顱磁刺激（repetitive transcranial magnetic stimulation, rTMS）和間歇性叢集型陣發刺激（intermittent theta-burst stimulation, iTBS）是治療難治型憂鬱症患者（treatment-resistant depression, TRD）的有效治療方法。然而，不同參數的經顱磁刺激潛在的電生理機制仍不清楚。此外，研究經顱磁刺激在難治型憂鬱症中治療效果的有效電生理標誌物是臨床領域的關鍵問題之一。因此，本研究旨在探討難治型憂鬱症患者在靜息狀態下受不同型態之非侵入性磁刺激影響的大腦振盪，並進一步研究重覆性經顱磁刺激和間歇性叢集型陣發刺激在難治型憂鬱症中治療效果的潛在標誌物。本研究基於以下四個假設檢驗可能的神經生理標記：一、重覆性經顱磁刺激和間歇性叢集型陣發刺激在難治型憂鬱症中之夾帶（entrainment）刺激效果以驗證其神經機制。二、額葉α不對稱假說。三、γ振盪在憂鬱症者大腦中過度活躍，以及四、γ相關大腦聯結的調節。本研究共招募了61名符合難治型憂鬱症條件的參與者，並隨機分配到延長之間歇性叢集型陣發刺激（N=19）、十赫茲重覆性經顱磁刺激（N=20）或安慰劑組（N=22）。每位參與者在十個療程的治療階段前後都經過醫師臨床評估和靜息閉眼狀態腦電圖記錄。療效評估由治療前和完成治療階段之間漢密爾頓憂鬱量表（17-item Hamilton Depression Rating Scale, HDRS-17）分數的變化來定義。腦波數據資料分析應用了全息希爾伯特譜分析（Holo-Hilbert Spectral Analysis, HHSA）和全息-希爾伯特跨頻相位耦合（Holo-Hilbert cross-frequency phase clustering, HHCFPC）等非線性分析方法。結果顯示了在難治型憂鬱症患者中可由大腦振盪揭示重覆性經顱磁刺激和間歇性叢集型陣發刺激的不同作用機制。此外，亦探討了治療效果的幾種潛在生物標記，其中關鍵振盪是θ-α振幅調變（amplitude modulation, AM）、β振幅調變-γ頻率、γ相關之大腦聯結，它們在難治型憂鬱症中及經顱磁刺激治療中扮演著不同的重要角色，值得於未來臨床研究中應用及驗證。
摘要(英)	Repetitive transcranial magnetic stimulation (rTMS) and intermittent theta burst stimulation (iTBS) are effective treatments in treatment-resistant depressed (TRD) patients. However, the underlying mechanisms of variant TMS protocol revealed by the brain oscillations remained unclear. Besides, the investigation of effective electrophysiological biomarkers for TMS treatment efficacy in TRD is one of the critical issues in the clinical field. Therefore, the present study aimed to investigate the dynamic of the brain oscillations during resting state affected by different protocols of TMS in TRD patients and further investigate the potential markers for therapeutic efficacy of rTMS and iTBS. These indices were examined according to four hypotheses. (1) The neural entrainment aftereffects of rTMS and iTBS in TRD. (2) The frontal alpha asymmetry hypothesis. (3) The hyperactivity in gamma oscillations, and (4) the modulation of gamma related brain connectivity. A total of 61 TRD eligible participants were recruited and were randomly assigned to either prolong iTBS (piTBS) (N=19), 10-Hz rTMS (N=20), or sham group (N=22). Each participant completed clinical assessments and resting state EEG with eye-closed recording both before and after ten sessions’ treatment phase. The evaluation of efficacy was defined by the changes in scores on the Hamilton depression rating scales (HDRS-17) between the baseline and the stage after the treatment. Nonlinear analytical methods such as Holo-Hilbert Spectral Analysis (HHSA) and Holo-Hilbert cross-frequency phase clustering (HHCFPC) were applied. The results showed the distinct mechanisms of rTMS and piTBS revealed by the brain oscillations in TRD. Furthermore, several potential biomarkers for TMS treatment efficacy were investigated. The critical oscillations were theta-alpha AM, beta AM-gamma frequency, and gamma-related connectivity which play different roles in TRD and TMS treatment effects that are worthy of application and verification in future clinical research.
關鍵字(中)	★ 大腦振盪 ★ 全息-希爾伯特譜分析 ★ 全息希爾伯特跨頻相位耦合 ★ 間歇性叢集型陣發刺激 ★ 重覆性經顱磁刺激 ★ 難治型憂鬱症	關鍵字(英)	★ brain oscillations ★ Holo-Hilbert Spectral analysis (HHSA) ★ Holo-Hilbert cross-frequency phase clustering (HHCFPC) ★ intermittent theta burst stimulation (iTBS) ★ repetitive transcranial magnetic stimulation (rTMS) ★ treatment-resistant depression (TRD)
論文目次	中文摘要 i Abstract ii 致謝辭 iii Disclaimer iv Table of Contents………………………………………………………………………………v List of Figures vii Lists of Tables ix Chapter I General introduction 1 Chapter II Literature review 6 2-1 Major depressive disorder (MDD) 6 2-2 Treatment resistant depression (TRD) 7 2-3 TMS treatment and MDD 8 2-4 Electrophysiological (EEG) markers in MDD 10 2-4-1 Power based brain oscillations 10 1. Alpha oscillations 10 2. Theta oscillations 14 3. Gamma oscillations 16 2-4-2 EEG connectivity 18 2-5 Adaptive nonlinear analytical methods 46 2-5-1 Empirical mode decomposition (EMD) 46 2-5-2 Holo-Hilbert Spectral Analysis (HHSA) 48 2-5-3 Holo-Hilbert cross-frequency phase clustering (HHCFPC) 49 Chapter III Materials and Methods 51 3-1 Participants 51 3-2 Procedure 52 3-3 Non-invasive Brain stimulation (iTBS/rTMS) parameters and site localization 53 3-4 Electrophysiological recording parameters 55 3-5 Data analysis and statistical analysis 55 3-5-1 Behavioral data- Clinical outcomes 55 3-5-2 Resting EEG-Pre-processing 56 3-5-3 Resting EEG-Frontal alpha asymmetry analysis 57 3-5-4 Resting EEG-Holo-Hilbert spectral analysis 57 3-5-5 Resting EEG-Holo-Hilbert cross-frequency phase clustering analysis 58 Chapter IV Results 60 4-1 Demographic results 60 4-2 EEG results 64 4-2-1 Entrainment 64 4-2-2 Frontal alpha asymmetry 72 1. Prediction at the pretreatment stage 72 2. Changes after brain stimulation 74 3. Antidepressant efficacy 76 4-2-3 Gamma oscillations 77 1. Prediction at the pretreatment stage 77 2. Changes after brain stimulation 80 3. Antidepressant efficacy 81 4-2-4 EEG connectivity 83 1. Prediction at the pretreatment stage 83 2. Changes after brain stimulation 84 3. Antidepressant efficacy 85 Chapter V Discussions 87 5-1 Antidepressant efficacy in clinical outcomes 87 5-2 Neural correlates of piTBS and 10-Hz rTMS- Entrainment aftereffects 88 5-3 The possible roles of neurophysiological biomarkers 89 5-3-1 Frontal alpha asymmetry 90 5-3-2 Theta-alpha amplitude modulation 91 5-3-3 Hyperactivity of gamma oscillations 93 5-3-4 Gamma related EEG connectivity 94 5-4 The potential causes for heterogeneous results of previous studies 96 5-5 The approach for future works 98 Chapter VI Conclusions 101 References 106 Appendix A: The list of abbreviations 129 Appendix B: The related publications-1 130 Appendix C: The related publications-2 143
參考文獻	Ahn, J. S., Heo, J., Oh, J., Lee, D., Jhung, K., Kim, J. J., & Park, J. Y. (2022). The Functional Interactions between Cortical Regions through Theta-Gamma Coupling during Resting-State and a Visual Working Memory Task. Brain Sciences, 12(2), 274. Akar, S. A., Kara, S., Agambayev, S., & Bilgiç, V. (2015). Nonlinear analysis of EEG in major depression with fractal dimensions. Paper presented at the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Al-Harbi, K. S., & adherence. (2012). Treatment-resistant depression: therapeutic trends, challenges, and future directions. Patient preference, 369-388. American Psychiatric Association (1994): Diagnostic and Statistical Manual of Mental Disorders, 4th ed, Washington, DC: American Psychiatric Press. Arns, M., Bruder, G., Hegerl, U., Spooner, C., Palmer, D. M., Etkin, A., . . . Gordon, E. (2016). EEG alpha asymmetry as a gender-specific predictor of outcome to acute treatment with different antidepressant medications in the randomized iSPOT-D study. Clinical Neurophysiology, 127(1), 509-519. Bădescu, S., Tătaru, C., Kobylinska, L., Georgescu, E., Zahiu, D., Zăgrean, A., & Zăgrean, L. (2016). The association between diabetes mellitus and depression. Journal of Medicine and Life, 9(2), 120. Bahramisharif, A., Mazaheri, A., Levar, N., Schuurman, P. R., Figee, M., & Denys, D. (2016). Deep brain stimulation diminishes cross-frequency coupling in obsessive-compulsive disorder. Biological Psychiatry, 80(7), e57-e58. Bailey, N., Hoy, K., Rogasch, N., Thomson, R., McQueen, S., Elliot, D., . . . Fitzgerald, P. (2018). Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders. Brain Stimulation, 11(1), 190-203. Bailey, N., Hoy, K., Rogasch, N., Thomson, R., McQueen, S., Elliot, D., . . . Fitzgerald, P. (2019). Differentiating responders and non-responders to rTMS treatment for depression after one week using resting EEG connectivity measures. Journal of Affective Disorders, 242, 68-79. Bailey, N. W., Krepel, N., van Dijk, H., Leuchter, A. F., Vila-Rodriguez, F., Blumberger, D. M., . . . Carpenter, L. L. (2021). Resting EEG theta connectivity and alpha power to predict repetitive transcranial magnetic stimulation response in depression: a non-replication from the ICON-DB consortium. Clinical Neurophysiology, 132(2), 650-659. Bares, M., Brunovsky, M., Novak, T., Kopecek, M., Stopkova, P., Sos, P., & Höschl, C. (2015). QEEG theta cordance in the prediction of treatment outcome to prefrontal repetitive transcranial magnetic stimulation or venlafaxine ER in patients with major depressive disorder. Clinical EEG Neuroscience, 46(2), 73-80. Baskaran, A., Milev, R., & McIntyre, R. S. (2012). The neurobiology of the EEG biomarker as a predictor of treatment response in depression. Neuropharmacology, 63(4), 507-513. Berlim, M., Van den Eynde, F., Tovar-Perdomo, S., & Daskalakis, Z. (2014). Response, remission and drop-out rates following high-frequency repetitive transcranial magnetic stimulation (rTMS) for treating major depression: a systematic review and meta-analysis of randomized, double-blind and sham-controlled trials. Psychological Medicine, 44(2), 225-239. Bilek, E., Schäfer, A., Ochs, E., Esslinger, C., Zangl, M., Plichta, M. M., . . . Rietschel, M. (2013). Application of high-frequency repetitive transcranial magnetic stimulation to the DLPFC alters human prefrontal–hippocampal functional interaction. Journal of Neuroscience, 33(16), 7050-7056. Blumberger, D. M., Vila-Rodriguez, F., Thorpe, K. E., Feffer, K., Noda, Y., Giacobbe, P., . . . Daskalakis, Z. J. (2018). Effectiveness of theta burst versus high-frequency repetitive transcranial magnetic stimulation in patients with depression (THREE-D): a randomised non-inferiority trial. The Lancet, 391(10131), 1683-1692. Breakspear, M. (2017). Dynamic models of large-scale brain activity. Nature Neuroscience, 20(3), 340-352. Briels, C. T., Schoonhoven, D. N., Stam, C. J., de Waal, H., Scheltens, P., & Gouw, A. A. (2020). Reproducibility of EEG functional connectivity in Alzheimer’s disease. Alzheimer′s Research & Therapy, 12, 1-14. Bruder, G. E., Sedoruk, J. P., Stewart, J. W., McGrath, P. J., Quitkin, F. M., & Tenke, C. E. (2008). Electroencephalographic alpha measures predict therapeutic response to a selective serotonin reuptake inhibitor antidepressant: pre- and post-treatment findings. Biological Psychiatry, 63(12), 1171-1177. Bukhari, S. R., & Afzal, F. (2017). Perceived social support predicts psychological problems among university students. The International Journal of Indian Psychology, 4(2), 18-27. Buzsaki, G. (2006). Rhythms of the Brain: Oxford university press. Buzsaki, G., & Draguhn, A. (2004). Neuronal oscillations in cortical networks. Science, 304(5679), 1926-1929. Buzsáki, G., & Mizuseki, K. (2014). The log-dynamic brain: how skewed distributions affect network operations. Nature Reviews Neuroscience, 15(4), 264-278. Buzsáki, G., & Wang, X. J. (2012). Mechanisms of gamma oscillations. Annual Review of Neuroscience, 35, 203. Canolty, R. T., & Knight, R. T. (2010). The functional role of cross-frequency coupling. Trends in Cognitive Sciences, 14(11), 506-515. Cao, K. X., Ma, M. L., Wang, C. Z., Iqbal, J., Si, J. J., Xue, Y. X., & Yang, J. L. (2021). TMS-EEG: an emerging tool to study the neurophysiologic biomarkers of psychiatric disorders. Neuropharmacology, 197, 108574. Chattun, M. R., Zhang, S., Chen, Y., Wang, Q., Amdanee, N., Tian, S., . . . Yao, Z. (2020). Caudothalamic dysfunction in drug-free suicidally depressed patients: an MEG study. European Archives of Psychiatry Clinical Neuroscience, 270, 217-227. Chen, R., & Seitz, R. J. (2001). Changing cortical excitability with low-frequency magnetic stimulation. In (Vol. 57, pp. 379-380): AAN Enterprises. Cheng, C. M., Juan, C. H., Chen, M. H., Chang, C. F., Lu, H. J., Su, T. P., . . . Li, C. T. (2016). Different forms of prefrontal theta burst stimulation for executive function of medication-resistant depression: evidence from a randomized sham-controlled study. Progress in Neuro-Psychopharmacology Biological Psychiatry, 66, 35-40. Cohen, M. X. (2014). Analyzing neural time series data: theory and practice: MIT press. Cook, I. A., Leuchter, A. F., Morgan, M., Witte, E., Stubbeman, W. F., Abrams, M., . . . Uijtdehaage, S. H. (2002). Early changes in prefrontal activity characterize clinical responders to antidepressants. Neuropsychopharmacology, 27(1), 120-131. Corlier, J., Carpenter, L. L., Wilson, A. C., Tirrell, E., Gobin, A. P., Kavanaugh, B., & Leuchter, A. F. (2019). The relationship between individual alpha peak frequency and clinical outcome with repetitive transcranial magnetic stimulation (rTMS) treatment of major depressive disorder (MDD). Brain Stimulation, 12(6), 1572-1578. Croarkin, P. E., Levinson, A. J., & Daskalakis, Z. J. (2011). Evidence for GABAergic inhibitory deficits in major depressive disorder. Neuroscience Biobehavioral Reviews, 35(3), 818-825. Cui, X. J., & Vaillant, G. E. (1996). Antecedents and consequences of negative life events in adulthood: a longitudinal study. The American Journal of Psychiatry. Čukić, M., Stokić, M., Radenković, S., Ljubisavljević, M., Simić, S., & Savić, D. (2020). Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression. International Journal of Methods in Psychiatric Research, 29(2), e1816. Dadi, A. F., Miller, E. R., Bisetegn, T. A., & Mwanri, L. (2020). Global burden of antenatal depression and its association with adverse birth outcomes: an umbrella review. BMC Public Health, 20(1), 1-16. Das, A., de Los Angeles, C., & Menon, V. (2022). Electrophysiological foundations of the human default-mode network revealed by intracranial-EEG recordings during resting-state and cognition. NeuroImage, 250, 118927. Daskalakis, Z. J. (2014). Theta-burst transcranial magnetic stimulation in depression: when less may be more. Brain, 137(7), 1860-1862. Davidson, R. J., & Henriques, J. (2000). Regional brain function in sadness and depression. The Neuropsychology of Emotion, 269-297. de Aguiar Neto, F. S., & Rosa, J. L. G. (2019). Depression biomarkers using non-invasive EEG: a review. Neuroscience Biobehavioral Reviews, 105, 83-93. De Hemptinne, C., Ryapolova-Webb, E. S., Air, E. L., Garcia, P. A., Miller, K. J., Ojemann, J. G., . . . Starr, P. A. (2013). Exaggerated phase–amplitude coupling in the primary motor cortex in Parkinson disease. Proceedings of the National Academy of Sciences, 110(12), 4780-4785. Debener, S., Beauducel, A., Nessler, D., Brocke, B., Heilemann, H., & Kayser, J. (2000). Is resting anterior EEG alpha asymmetry a trait marker for depression? Neuropsychobiology, 41(1), 31-37. Devergnas, A., Caiola, M., Pittard, D., & Wichmann, T. (2019). Cortical phase–amplitude coupling in a progressive model of parkinsonism in nonhuman primates. Cerebral Cortex, 29(1), 167-177. Dharmadhikari, A., Tandle, A., Jaiswal, S., Sawant, V., Vahia, V., & Jog, N. (2018). Frontal theta asymmetry as a biomarker of depression. East Asian Archives of Psychiatry, 28(1), 17-22. Dubin, M. J., Mao, X., Banerjee, S., Goodman, Z., Lapidus, K. A., Kang, G., . . . Shungu, D. C. (2016). Elevated prefrontal cortex GABA in patients with major depressive disorder after TMS treatment measured with proton magnetic resonance spectroscopy. Journal of Psychiatry Neuroscience, 41(3), E37-E45. England, M. J., & Sim, L. J. (2009). The Etiology of Depression. In England, M. J., & Sim, L. J. (Eds.), Depression in parents, parenting, and children: Opportunities to improve identification, treatment, and prevention (pp. 73-118). Washington D.C.: The National Academies Press. Enns, M. W., & Cox, B. J. (1997). Personality dimensions and depression: review and commentary. The Canadian Journal of Psychiatry, 42(3), 274-284. Farzan, F., Barr, M. S., Wong, W., Chen, R., Fitzgerald, P. B., & Daskalakis, Z. J. (2009). Suppression of γ-oscillations in the dorsolateral prefrontal cortex following long interval cortical inhibition: a TMS–EEG study. Neuropsychopharmacology, 34(6), 1543-1551. Fava, M. (2003). Diagnosis and definition of treatment-resistant depression. Biological Psychiatry, 53(8), 649-659. Fekadu, A., Wooderson, S., Donaldson, C., Markopoulou, K., Masterson, B., Poon, L., & Cleare, A. J. (2009b). A multidimensional tool to quantify treatment resistance in depression: the Maudsley staging method. Journal of Clinical Psychiatry, 70(2), 177. Fekadu, A., Wooderson, S. C., Markopoulo, K., Donaldson, C., Papadopoulos, A., & Cleare, A. J. (2009a). What happens to patients with treatment-resistant depression? A systematic review of medium to long term outcome studies. Journal of Affective Disorders, 116(1-2), 4-11. Fernández-Palleiro, P., Rivera-Baltanás, T., Rodrigues-Amorim, D., Fernández-Gil, S., del Carmen Vallejo-Curto, M., Álvarez-Ariza, M., . . . Spuch, C. (2020). Brainwaves oscillations as a potential biomarker for major depression disorder risk. Clinical EEG and Neuroscience, 51(1), 3-9. Fingelkurts, A. A., Fingelkurts, A. A., Rytsälä, H., Suominen, K., Isometsä, E., & Kähkönen, S. (2007). Impaired functional connectivity at EEG alpha and theta frequency bands in major depression. Human Brain Mapping, 28(3), 247-261. Fischer, A. S., Keller, C. J., & Etkin, A. (2016). The clinical applicability of functional connectivity in depression: Pathways toward more targeted intervention. Biological Psychiatry: Cognitive Neuroscience Neuroimaging, 1(3), 262-270. Fitzgerald, P. (2019). EEG and fMRI network-based predictors of response to rTMS in depression. Brain Stimulation: Basic, Translational, Clinical Research in Neuromodulation, 12(2), 395-396. Fitzgerald, P. B., Fountain, S., & Daskalakis, Z. J. (2006). A comprehensive review of the effects of rTMS on motor cortical excitability and inhibition. Journal of Clinical Neurophysiology, 117(12), 2584-2596. Fitzgerald, P. J., & Watson, B. O. (2018). Gamma oscillations as a biomarker for major depression: an emerging topic. Translational Psychiatry, 8(1), 1-7. Flandrin, P. (1999). Time-frequency/time-scale analysis. Academic press. Fuggetta, G., & Noh, N. A. (2013). A neurophysiological insight into the potential link between transcranial magnetic stimulation, thalamocortical dysrhythmia and neuropsychiatric disorders. Experimental Neurology, 245, 87-95. Gaynes, B. N., Lloyd, S. W., Lux, L., Gartlehner, G., Hansen, R. A., Brode, S., . . . Lohr, K. N. (2014). Repetitive transcranial magnetic stimulation for treatment-resistant depression: a systematic review and meta-analysis. The Journal of Clinical Psychiatry, 75(5), 29758. George, M. S., Lisanby, S. H., Avery, D., McDonald, W. M., Durkalski, V., Pavlicova, M., . . . Zarkowski, P. (2010). Daily left prefrontal transcranial magnetic stimulation therapy for major depressive disorder: a sham-controlled randomized trial. Archives of General Psychiatry, 67(5), 507-516. Gerner, R. H., & Hare, T. A. (1981). CSF GABA in normal subjects and patients with depression, schizophrenia, mania, and anorexia nervosa. The American Journal of Psychiatry, 138(8), 1098-1101. Gheza, D., Bakic, J., Baeken, C., De Raedt, R., & Pourtois, G. (2019). Abnormal approach-related motivation but spared reinforcement learning in MDD: Evidence from fronto-midline Theta oscillations and frontal Alpha asymmetry. Cognitive, Affective, Behavioral Neuroscience, 19(3), 759-777. Godlewska, B. R. (2020). Neuroimaging as a tool for individualized treatment choice in depression: the past, the present and the future. Current Behavioral Neuroscience Reports, 7(1), 32-39. Gotlib, I. H. (1998). EEG alpha asymmetry, depression, and cognitive functioning. Cognition & Emotion, 12(3), 449-478. Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003). Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the national academy of sciences, 100(1), 253-258. Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, Psychiatry, 23(1), 56. Han, Y. L., Dai, Z. P., Ridwan, M. C., Lin, P. H., Zhou, H. L., Wang, H. F., . . . Lu, Q. (2020). Connectivity of the frontal cortical oscillatory dynamics underlying inhibitory control during a go/no-go task as a predictive biomarker in major depression. Frontiers in Psychiatry, 11, 707. Hasler, G., van der Veen, J. W., Tumonis, T., Meyers, N., Shen, J., & Drevets, W. C. (2007). Reduced prefrontal glutamate/glutamine and γ-aminobutyric acid levels in major depression determined using proton magnetic resonance spectroscopy. Archives of General Psychiatry, 64(2), 193-200. Hegerl, U., Wilk, K., Olbrich, S., Schoenknecht, P., & Sander, C. (2012). Hyperstable regulation of vigilance in patients with major depressive disorder. The World Journal of Biological Psychiatry, 13(6), 436-446. Hegerl, U., Wilk, K., Olbrich, S., Schoenknecht, P., & Sander, C. (2012). Hyperstable regulation of vigilance in patients with major depressive disorder. The World Journal of Biological Psychiatry, 13(6), 436-446. Heikman, P., Salmelin, R., Mäkelä, J. P., Hari, R., Katila, H., & Kuoppasalmi, K. (2001). Relation between frontal 3–7 Hz MEG activity and the efficacy of ECT in major depression. The Journal of ECT, 17(2), 136-140. Henriques, J. B., & Davidson, R. J. (1991). Left frontal hypoactivation in depression. Journal of Abnormal Psychology, 100(4), 535. Hirschfeld, R. M. (2001). The comorbidity of major depression and anxiety disorders: recognition and management in primary care. Primary Care Companion to the Journal of Clinical Psychiatry, 3(6), 244. Holzer, M., & Padberg, F. (2010). Intermittent theta burst stimulation (iTBS) ameliorates therapy-resistant depression: a case series. Brain Stimulation: Basic, Translational, Clinical Research in Neuromodulation, 3(3), 181-183. Huang, N. E., Hu, K., Yang, A. C., Chang, H.-C., Jia, D., Liang, W.-K., . . . Peng, C. K. (2016). On Holo-Hilbert spectral analysis: a full informational spectral representation for nonlinear and non-stationary data. Philosophical Transactions of the Royal Society A: Mathematical, Physical Engineering Sciences, 374(2065), 20150206. Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., . . . Liu, H. H. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London. Series A: mathematical, physical engineering sciences, 454(1971), 903-995. Huang, N. E., Wu, Z., Long, S. R., Arnold, K. C., Chen, X., & Blank, K. (2009). On instantaneous frequency. Advances in Adaptive Data Analysis, 1(02), 177-229. Hughes, S. W., & Crunelli, V. (2005). Thalamic mechanisms of EEG alpha rhythms and their pathological implications. The Neuroscientist, 11(4), 357-372. Hunter, A. M., Korb, A. S., Cook, I. A., & Leuchter, A. F. (2013). Rostral anterior cingulate activity in major depressive disorder: state or trait marker of responsiveness to medication? The Journal of Neuropsychiatry Clinical Neurosciences, 25(2), 126-133. Hunter, A. M., Nghiem, T. X., Cook, I. A., Krantz, D. E., Minzenberg, M. J., & Leuchter, A. F. (2018). Change in quantitative EEG theta cordance as a potential predictor of repetitive transcranial magnetic stimulation clinical outcome in major depressive disorder. Clinical EEG Neuroscience, 49(5), 306-315. Iosifescu, D. V. (2011). Electroencephalography-derived biomarkers of antidepressant response. Harvard Review of Psychiatry, 19(3), 144-154. Iosifescu, D. V., Greenwald, S., Devlin, P., Mischoulon, D., Denninger, J. W., Alpert, J. E., & Fava, M. (2009). Frontal EEG predictors of treatment outcome in major depressive disorder. European Neuropsychopharmacology, 19(11), 772-777. Ironside, M., O’Shea, J., Cowen, P. J., & Harmer, C. J. (2016). Frontal cortex stimulation reduces vigilance to threat: implications for the treatment of depression and anxiety. Biological Psychiatry, 79(10), 823-830. Iwabuchi, S. J., Raschke, F., Auer, D. P., Liddle, P. F., Lankappa, S. T., & Palaniyappan, L. (2017). Targeted transcranial theta-burst stimulation alters fronto-insular network and prefrontal GABA. Neuroimage, 146, 395-403. Jaiswal, S., Huang, S. L., Juan, C. H., Huang, N. E., & Liang, W. K. (2023). Resting State Dynamics in People with Varying Degrees of Anxiety and Mindfulness: A Nonlinear and Nonstationary Perspective. Neuroscience, 519, 177-197. Jaworska, N., Blier, P., Fusee, W., & Knott, V. (2012). Alpha power, alpha asymmetry and anterior cingulate cortex activity in depressed males and females. Journal of Psychiatric Research, 46(11), 1483-1491. Jiang, H., Popov, T., Jylänki, P., Bi, K., Yao, Z., Lu, Q., . . . Van Gerven, M. (2016). Predictability of depression severity based on posterior alpha oscillations. Clinical Neurophysiology, 127(4), 2108-2114. Jiang, H., Tian, S., Bi, K., Lu, Q., & Yao, Z. (2019). Hyperactive frontolimbic and frontocentral resting-state gamma connectivity in major depressive disorder. Journal of Affective Disorders, 257, 74-82. Joorman, J. (2008). Cognitive aspects of depression. In I. Gotlib and C. Hammen (Eds.), Handbook of Depression (2nd ed., pp. 298–321). New York: Guilford Press. Juan, C. H., Nguyen, K. T., Liang, W. K., Quinn, A. J., Chen, Y. H., Muggleton, N. G., . . . Huang, N. E. (2021). Revealing the dynamic nature of amplitude modulated neural entrainment with Holo-Hilbert spectral analysis. Frontiers in Neuroscience, 15, 673369. Kaiser, A. K., Gnjezda, M.-T., Knasmüller, S., & Aichhorn, W. (2018). Electroencephalogram alpha asymmetry in patients with depressive disorders: current perspectives. Neuropsychiatric Disease Treatment, 14, 1493-1504. Kan, R. L., Padberg, F., Giron, C. G., Lin, T. T., Zhang, B. B., Brunoni, A. R., & Kranz, G. S. (2023). Effects of repetitive transcranial magnetic stimulation of the left dorsolateral prefrontal cortex on symptom domains in neuropsychiatric disorders: a systematic review and cross-diagnostic meta-analysis. The Lancet Psychiatry, 10(4), 252-259. Kemp, A., Griffiths, K., Felmingham, K., Shankman, S. A., Drinkenburg, W., Arns, M., . . . Bryant, R. (2010). Disorder specificity despite comorbidity: resting EEG alpha asymmetry in major depressive disorder and post-traumatic stress disorder. Biological Psychology, 85(2), 350-354. Kito, S., Hasegawa, T., Takamiya, A., Noda, T., Nakagome, K., Higuchi, T., & Koga, Y. (2017). Transcranial magnetic stimulation modulates resting EEG functional connectivity between the left dorsolateral prefrontal cortex and limbic regions in medicated patients with treatment-resistant depression. The Journal of Neuropsychiatry Clinical Neurosciences, 29(2), 155-159. Klimesch, W., Sauseng, P., & Hanslmayr, S. (2007). EEG alpha oscillations: the inhibition-timing hypothesis. Brain Research Reviews, 53(1), 63-88. Knott, V., Mahoney, C., Kennedy, S., & Evans, K. (2000). Pre-treatment EEG and it′s relationship to depression severity and paroxetine treatment outcome. Pharmacopsychiatry, 33(06), 201-205. Koller-Schlaud, K., Ströhle, A., Bärwolf, E., Behr, J., & Rentzsch, J. (2020). EEG frontal asymmetry and theta power in unipolar and bipolar depression. Journal of Affective Disorders, 276, 501-510. Kołodziej, A., Magnuski, M., Ruban, A., & Brzezicka, A. (2021). No relationship between frontal alpha asymmetry and depressive disorders in a multiverse analysis of five studies. Elife, 10, e60595. Korb, A. S., Hunter, A. M., Cook, I. A., & Leuchter, A. F. (2009). Rostral anterior cingulate cortex theta current density and response to antidepressants and placebo in major depression. Clinical Neurophysiology, 120(7), 1313-1319. Kustubayeva, A., Kamzanova, A., Kudaibergenova, S., Pivkina, V., & Matthews, G. (2020). Major depression and brain asymmetry in a decision-making task with negative and positive feedback. Symmetry, 12(12), 2118. Lachaux, J. P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping, 8(4), 194-208. Lakatos, P., Gross, J., & Thut, G. (2019). A new unifying account of the roles of neuronal entrainment. Current Biology, 29(18), R890-R905. Leuchter, A. F., Cook, I. A., Hunter, A. M., Cai, C., & Horvath, S. (2012). Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression. PLoS One, 7(2), e32508. Leuchter, A. F., Cook, I. A., Jin, Y., & Phillips, B. (2013). The relationship between brain oscillatory activity and therapeutic effectiveness of transcranial magnetic stimulation in the treatment of major depressive disorder. Frontiers in human neuroscience, 37. Leuchter, A. F., Hunter, A. M., Krantz, D. E., & Cook, I. A. (2015). Rhythms and blues: modulation of oscillatory synchrony and the mechanism of action of antidepressant treatments. Annals of the New York Academy of Sciences, 1344(1), 78-91. Levitt, J. G., Kalender, G., O’Neill, J., Diaz, J. P., Cook, I. A., Ginder, N., . . . Nguyen, L. D. (2019). Dorsolateral prefrontal γ-aminobutyric acid in patients with treatment-resistant depression after transcranial magnetic stimulation measured with magnetic resonance spectroscopy. Journal of Psychiatry Neuroscience, 44(6), 386-394. Li, C. T., Chen, L. F., Tu, P. C., Wang, S. J., Chen, M. H., Su, T. P., & Hsieh, J. C. (2013). Impaired prefronto-thalamic functional connectivity as a key feature of treatment-resistant depression: a combined MEG, PET and rTMS study. PLoS One, 8(8), e70089. Li, C. T., Chen, M. H., Juan, C. H., Huang, H. H., Chen, L. F., Hsieh, J. C., . . . Lee, Y. C. (2014). Efficacy of prefrontal theta-burst stimulation in refractory depression: a randomized sham-controlled study. Brain, 137(7), 2088-2098. Li, C. T., Cheng, C. M., Chen, M. H., Juan, C. H., Tu, P. C., Bai, Y. M., . . . Su, T. P. (2020). Antidepressant efficacy of prolonged intermittent theta burst stimulation monotherapy for recurrent depression and comparison of methods for coil positioning: a randomized, double-blind, sham-controlled study. Biological Psychiatry, 87(5), 443-450. Li, C. T., Cheng, C. M., Juan, C. H., Tsai, Y. C., Chen, M. H., Bai, Y. M., . . . Su, T. P. (2021). Task-modulated brain activity predicts antidepressant responses of prefrontal repetitive transcranial magnetic stimulation: A randomized sham-control study. Chronic Stress, 5, 24705470211006855. Li, C. T., Hsieh, J. C., Huang, H. H., Chen, M. H., Juan, C. H., Tu, P. C., . . . Su, T. P. (2016). Cognition-modulated frontal activity in prediction and augmentation of antidepressant efficacy: a randomized controlled pilot study. Cerebral Cortex, 26(1), 202-210. Li, C. T., Juan, C. H., Lin, H. C., Cheng, C. M., Wu, H. T., Yang, B. H., . . . Fitzgerald, P. B. (2022). Cortical excitatory and inhibitory correlates of the fronto-limbic circuit in major depression and differential effects of left frontal brain stimulation in a randomized sham-controlled trial. Journal of Affective Disorders, 15(311), 364-370. Li, C. T., Yang, K. C., & Lin, W. C. (2019). Glutamatergic dysfunction and glutamatergic compounds for major psychiatric disorders: evidence from clinical neuroimaging studies. Frontiers in Psychiatry, 9, 767. Li, C. T., Chen, M. H., Juan, C. H., Liu, R. S., Lin, W. C., Bai, Y. M., & Su, T. P. (2018). Effects of prefrontal theta-burst stimulation on brain function in treatment-resistant depression: A randomized sham-controlled neuroimaging study. Brain stimulation, 11(5), 1054-1062. Li, Y., Cao, D., Wei, L., Tang, Y., & Wang, J. (2015). Abnormal functional connectivity of EEG gamma band in patients with depression during emotional face processing. Clinical Neurophysiology, 126(11), 2078-2089. Li, Y., Kang, C., Qu, X., Zhou, Y., Wang, W., & Hu, Y. (2016). Depression-related brain connectivity analyzed by EEG event-related phase synchrony measure. Frontiers in Human Neuroscience, 10, 477. Liang, W. K., Tseng, P., Yeh, J. R., Huang, N. E., & Juan, C. H. (2021). Frontoparietal beta amplitude modulation and its interareal cross-frequency coupling in visual working memory. Neuroscience, 460, 69-87. Liston, C., Chen, A. C., Zebley, B. D., Drysdale, A. T., Gordon, R., Leuchter, B., . . . Dubin, M. J. (2014). Default mode network mechanisms of transcranial magnetic stimulation in depression. Biological Psychiatry, 76(7), 517-526. Liu, T. Y., Hsieh, J. C., Chen, Y. S., Tu, P. C., Su, T. P., & Chen, L. F. (2012). Different patterns of abnormal gamma oscillatory activity in unipolar and bipolar disorder patients during an implicit emotion task. Neuropsychologia, 50(7), 1514-1520. Liu, X., Liu, S., Li, M., Su, F., Chen, S., Ke, Y., & Ming, D. (2022). Altered gamma oscillations and beta–gamma coupling in drug-naive first-episode major depressive disorder: Association with sleep and cognitive disturbance. Journal of Affective Disorders, 316, 99-108. Loo, C., Sachdev, P., Elsayed, H., McDarmont, B., Mitchell, P., Wilkinson, M., . . . Gandevia, S. (2001). Effects of a 2-to 4-week course of repetitive transcranial magnetic stimulation (rTMS) on neuropsychologic functioning, electroencephalogram, and auditory threshold in depressed patients. Biological Psychiatry, 49(7), 615-623. Lopes-dos-Santos, V., van de Ven, G. M., Morley, A., Trouche, S., Campo-Urriza, N., & Dupret, D. (2018). Parsing hippocampal theta oscillations by nested spectral components during spatial exploration and memory-guided behavior. Neuron, 100(4), 940-952. e947. Maciag, D., Hughes, J., O′Dwyer, G., Pride, Y., Stockmeier, C. A., Sanacora, G., & Rajkowska, G.(2010). Reduced density of calbindin immunoreactive GABAergic neurons in the occipital cortex in major depression: relevance to neuroimaging studies. Biological Psychiatry, 67(5), 465-470. Mathersul, D., Williams, L. M., Hopkinson, P. J., & Kemp, A. H. (2008). Investigating models of affect: relationships among EEG alpha asymmetry, depression, and anxiety. Emotion, 8(4), 560. Milakhina, N., Karpova, A., Astakhova, T., & Savostyanov, A. (2021). Use of Computer Methods for Analyzing Brain Signals to Assess the Success of Adaptation of Labor Migrants to Extreme Climate Conditions. Paper presented at the 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials (EDM). Mulders, P. C., van Eijndhoven, P. F., Schene, A. H., Beckmann, C. F., & Tendolkar, I. (2015). Resting-state functional connectivity in major depressive disorder: a review. Neuroscience Biobehavioral Reviews, 56, 330-344. Mulert, C., Juckel, G., Brunnmeier, M., Karch, S., Leicht, G., Mergl, R., . . . Pogarell, O. (2007). Prediction of treatment response in major depression: integration of concepts. Journal of Affective Disorders, 98(3), 215-225. Murray, E. A., Wise, S. P., & Drevets, W. C. (2011). Localization of dysfunction in major depressive disorder: prefrontal cortex and amygdala. Biological Psychiatry, 69(12), e43-54. Narushima, K., McCormick, L. M., Yamada, T., Thatcher, R. W., & Robinson, R. G. (2010). Subgenual cingulate theta activity predicts treatment response of repetitive transcranial magnetic stimulation in participants with vascular depression. The Journal of Neuropsychiatry Clinical Neurosciences, 22(1), 75-84. Nguyen, K. T., Liang, W. K., Lee, V., Chang, W. S., Muggleton, N. G., Yeh, J. R., . . . Juan, C. H. (2019). Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis. Scientific Reports, 9(1), 1-13. Nguyen, T. V., Balachandran, P., Muggleton, N. G., Liang, W.-K., & Juan, C. H. (2021). Dynamical EEG Indices of Progressive Motor Inhibition and Error-Monitoring. Brain Sciences, 11(4), 478. Nikolin, S., Tan, Y. Y., Schwaab, A., Moffa, A., Loo, C. K., & Martin, D. (2021). An investigation of working memory deficits in depression using the n-back task: A systematic review and meta-analysis. Journal of Affective Disorders, 284, 1-8. Noda, Y., Nakamura, M., Saeki, T., Inoue, M., Iwanari, H., & Kasai, K. (2013). Potentiation of quantitative electroencephalograms following prefrontal repetitive transcranial magnetic stimulation in patients with major depression. Neuroscience Research, 77(1-2), 70-77. Noda, Y., Silverstein, W. K., Barr, M., Vila-Rodriguez, F., Downar, J., Rajji, T. K., . . . Daskalakis, Z. J. (2015). Neurobiological mechanisms of repetitive transcranial magnetic stimulation of the dorsolateral prefrontal cortex in depression: a systematic review. Psychological Medicine, 45(16), 3411-3432. Noda, Y., Zomorrodi, R., Saeki, T., Rajji, T. K., Blumberger, D. M., Daskalakis, Z. J., & Nakamura, M. (2017). Resting-state EEG gamma power and theta–gamma coupling enhancement following high-frequency left dorsolateral prefrontal rTMS in patients with depression. Clinical Neurophysiology, 128(3), 424-432. Nusslock, R., Shackman, A. J., McMenamin, B. W., Greischar, L. L., Davidson, R. J., & Kovacs, M. (2018). Comorbid anxiety moderates the relationship between depression history and prefrontal EEG asymmetry. Psychophysiology, 55(1), e12953. O’Reardon, J. P., Solvason, H. B., Janicak, P. G., Sampson, S., Isenberg, K. E., Nahas, Z., . . . Loo, C. J. B. p. (2007). Efficacy and safety of transcranial magnetic stimulation in the acute treatment of major depression: a multisite randomized controlled trial. 62(11), 1208-1216. Olbrich, S., Sander, C., Minkwitz, J., Chittka, T., Mergl, R., Hegerl, U., & Himmerich, H. (2012). EEG vigilance regulation patterns and their discriminative power to separate patients with major depression from healthy controls. Neuropsychobiology, 65(4), 188-194. Pathak, Y., Salami, O., Baillet, S., Li, Z., & Butson, C. R. (2016). Longitudinal changes in depressive circuitry in response to neuromodulation therapy. Frontiers in Neural Circuits, 10, 50. Pauls, D. L., Abramovitch, A., Rauch, S. L., & Geller, D. A. (2014). Obsessive–compulsive disorder: an integrative genetic and neurobiological perspective. Nature Reviews Neuroscience, 15(6), 410-424. Petersen, T., Papakostas, G. I., Posternak, M. A., Kant, A., Guyker, W. M., Iosifescu, D. V., . . . Fava, M. (2005). Empirical testing of two models for staging antidepressant treatment resistance. Journal of Clinical Psychopharmacology, 25(4), 336-341. Pizzagalli, D., Pascual-Marqui, R. D., Nitschke, J. B., Oakes, T. R., Larson, C. L., Abercrombie, H. C., . . . Davidson, R. J. (2001). Anterior cingulate activity as a predictor of degree of treatment response in major depression: evidence from brain electrical tomography analysis. American Journal of Psychiatry, 158(3), 405-415. Pizzagalli, D. A. (2011). Frontocingulate dysfunction in depression: toward biomarkers of treatment response. Neuropsychopharmacology, 36(1), 183-206. Pizzagalli, D. A., Peccoralo, L. A., Davidson, R. J., & Cohen, J. D. (2006). Resting anterior cingulate activity and abnormal responses to errors in subjects with elevated depressive symptoms: A 128‐channel EEG study. Human Brain Mapping, 27(3), 185-201. Pizzagalli, D. A., Webb, C. A., Dillon, D. G., Tenke, C. E., Kayser, J., Goer, F., . . . Trivedi, M. H. (2018). Pretreatment Rostral Anterior Cingulate Cortex Theta Activity in Relation to Symptom Improvement in Depression: A Randomized Clinical Trial. JAMA Psychiatry, 75(6), 547-554. Quinn, A. J., Lopes-dos-Santos, V., Huang, N., Liang, W.-K., Juan, C.-H., Yeh, J.-R., . . . Woolrich, M. W. (2021). Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics. Journal of Neurophysiology, 126(4), 1190-1208. Rajkowska, G., O′Dwyer, G., Teleki, Z., Stockmeier, C. A., & Miguel-Hidalgo, J. J. (2007). GABAergic neurons immunoreactive for calcium binding proteins are reduced in the prefrontal cortex in major depression. Neuropsychopharmacology, 32(2), 471-482. Rush, A. J. (2007). Limitations in efficacy of antidepressant monotherapy. Journal of Clinical Psychiatry, 68(B), 8. Sackeim, H. A., Aaronson, S. T., Bunker, M. T., Conway, C. R., Demitrack, M. A., George, M. S., . . . Rush, A. J. (2019). The assessment of resistance to antidepressant treatment: Rationale for the Antidepressant Treatment History Form: Short Form (ATHF-SF). Journal of Psychiatric Research, 113, 125-136. Sadaghiani, S., Scheeringa, R., Lehongre, K., Morillon, B., Giraud, A. L., & Kleinschmidt, A. (2010). Intrinsic connectivity networks, alpha oscillations, and tonic alertness: a simultaneous electroencephalography/functional magnetic resonance imaging study. Journal of Neuroscience, 30(30), 10243-10250. Saletu, B., Anderer, P., & Saletu-Zyhlarz, G. (2010). EEG topography and tomography (LORETA) in diagnosis and pharmacotherapy of depression. Clinical EEG and Neuroscience, 41(4), 203-210. Scangos, K. W., Khambhati, A. N., Daly, P. M., Makhoul, G. S., Sugrue, L. P., Zamanian, H., . . . Dawes, H. E. (2021). Closed-loop neuromodulation in an individual with treatment-resistant depression. Nature Medicine, 27(10), 1696-1700. Scangos, K. W., Khambhati, A. N., Daly, P. M., Makhoul, G. S., Sugrue, L. P., Zamanian, H., . . . Chang, E. F. (2021). Closed-loop neuromodulation in an individual with treatment-resistant depression. Nat Med, 27(10), 1696-1700. Schiller, M. J. (2019). Quantitative electroencephalography in guiding treatment of major depression. Frontiers in Psychiatry, 9, 779. Schulman, J. J., Cancro, R., Lowe, S., Lu, F., Walton, K. D., & Llinás, R. R. (2011). Imaging of thalamocortical dysrhythmia in neuropsychiatry. Frontiers in human neuroscience, 5, 69. Sellmeijer, J., Mathis, V., Hugel, S., Li, X. H., Song, Q., Chen, Q. Y., . . . Yalcin, I. (2018). Hyperactivity of Anterior Cingulate Cortex Areas 24a/24b Drives Chronic Pain-Induced Anxiodepressive-like Consequences. Journal of Neuroscience, 38(12), 3102-3115. Singh, A., Erwin-Grabner, T., Sutcliffe, G., Paulus, W., Dechent, P., Antal, A., & Goya-Maldonado, R. (2020). Default mode network alterations after intermittent theta burst stimulation in healthy subjects. Translational Psychiatry, 10(1), 75. Smart, O. L., Tiruvadi, V. R., & Mayberg, H. S. (2015). Multimodal approaches to define network oscillations in depression. Biological Psychiatry, 77(12), 1061-1070. Spronk, D., Arns, M., Bootsma, A., van Ruth, R., & Fitzgerald, P. B. (2008). Long term effects of left frontal rTMS on EEG and ERPs in patients with depression. Clinical EEG and Neuroscience, 39(3), 118-124. Stewart, J. L., Coan, J. A., Towers, D. N., & Allen, J. J. (2014). Resting and task‐elicited prefrontal EEG alpha asymmetry in depression: Support for the capability model. Psychophysiology, 51(5), 446-455. Strelets, V., Garakh, Z. V., & Novototskii-Vlasov, V. Y. (2007). Comparative study of the gamma rhythm in normal conditions, during examination stress, and in patients with first depressive episode. Neuroscience Behavioral Physiology, 37(4), 387-394. Thau, K., Rappelsberger, P., Lovrek, A., Petsche, H., Simhandl, C., & Topitz, A. (1988). Effect of lithium on the EEG of healthy males and females. Neuropsychobiology, 20(3), 158-163. Thut, G., Schyns, P. G., & Gross, J. (2011a). Entrainment of perceptually relevant brain oscillations by non-invasive rhythmic stimulation of the human brain. Frontiers in Psychology, 2, 170. Thut, G., Veniero, D., Romei, V., Miniussi, C., Schyns, P., & Gross, J. (2011b). Rhythmic TMS causes local entrainment of natural oscillatory signatures. Current Biology, 21(14), 1176-1185. Treu, S., Gonzalez-Rosa, J. J., Soto-Leon, V., Lozano-Soldevilla, D., Oliviero, A., Lopez-Sosa, F., . . . Strange, B. A. (2021). A ventromedial prefrontal dysrhythmia in obsessive-compulsive disorder is attenuated by nucleus accumbens deep brain stimulation. Brain stimulation, 14(4), 761-770. Tsai, Y. C., Li, C. T., & Juan, C. H. (2023). A review of critical brain oscillations in depression and the efficacy of transcranial magnetic stimulation treatment. Frontiers in Psychiatry, 14. Tsai, Y. C., Li, C. T., Liang, W. K., Muggleton, N. G., Tsai, C. C., Huang, N. E., & Juan, C. H. (2022). Critical role of rhythms in prefrontal transcranial magnetic stimulation for depression: A randomized sham‐controlled study. Human Brain Mapping(43), 1535-1547. Umemoto, A., Panier, L. Y., Cole, S. L., Kayser, J., Pizzagalli, D. A., & Auerbach, R. P. (2021). Resting posterior alpha power and adolescent major depressive disorder. Journal of Psychiatric Research, 141, 233-240. Valiulis, V., Gerulskis, G., Dapšys, K., Vištartaite, G., Šiurkute, A., & Mačiulis, V. (2012). Electrophysiological differences between high and low frequency rTMS protocols in depression treatment. Acta Neurobiologiae Experimentalis, 72(3), 283-295. van der Vinne, N., Vollebregt, M. A., Van Putten, M. J., & Arns, M. (2017). Frontal alpha asymmetry as a diagnostic marker in depression: Fact or fiction? A meta-analysis. NeuroImage: Clinical, 16, 79-87. van der Vinne, N., Vollebregt, M. A., van Putten, M. J., & Arns, M. (2019). Stability of frontal alpha asymmetry in depressed patients during antidepressant treatment. NeuroImage: Clinical, 24, 102056. van Eijndhoven, P. F. P., Bartholomeus, J., Möbius, M., de Bruijn, A., Ferrari, G. R. A., Mulders, P., . . . Tendolkar, I. (2020). A randomized controlled trial of a standard 4-week protocol of repetitive transcranial magnetic stimulation in severe treatment resistant depression. Journal of Affective Disorders, 274, 444-449. Vidaurre, D., Hunt, L. T., Quinn, A. J., Hunt, B. A., Brookes, M. J., Nobre, A. C., & Woolrich, M. W. (2018). Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks. Nature communications, 9(1), 2987. Voineskos, D., Daskalakis, Z. J., & Blumberger, D. M. (2020). Management of treatment-resistant depression: challenges and strategies. Neuropsychiatric Disease and Treatment, 221-234. Wang, J., Liu, Q., Tian, F., Zhou, S., Parra, M. A., Wang, H., & Yu, X. (2022). Disrupted spatiotemporal complexity of resting-state electroencephalogram dynamics is associated with adaptive and maladaptive rumination in major depressive disorder. Frontiers in Neuroscience, 16. World Health Organization. (2017). Depression and Other Common Mental Disorders: Global Health Estimates. WHO reference number: WHO/MSD/MER/2017.2 Widge, A. S., Bilge, M. T., Montana, R., Chang, W., Rodriguez, C. I., Deckersbach, T., . . . Nemeroff, C. B. (2019). Electroencephalographic biomarkers for treatment response prediction in major depressive illness: a meta-analysis. American Journal of Psychiatry, 176(1), 44-56. Yadollahpour, A., Rostami, R., Kazemi, R., & Shakeri, A. (2019). Prefrontal alpha Asymmetry index predicts response to repetitive transcranial magnetic stimulation. Brain Stimulation: Basic, Translational, Clinical Research in Neuromodulation, 12(2), 386. Yakubov, B., Das, S., Zomorrodi, R., Blumberger, D. M., Enticott, P. G., Kirkovski, M., . . . Desarkar, P. (2022). Cross-frequency Coupling in Psychiatric Disorders: A Systematic Review. Neuroscience Biobehavioral Reviews, 104690. Yamamoto, T., Sugaya, N., Siegle, G. J., Kumano, H., Shimada, H., Machado, S., . . . Takamura, M. (2018). Altered gamma-band activity as a potential biomarker for the recurrence of major depressive disorder. Frontiers in Psychiatry, 9, 691. Yamamura, T., Okamoto, Y., Okada, G., Takaishi, Y., Takamura, M., Mantani, A., . . . Yamawaki, S. (2016). Association of thalamic hyperactivity with treatment-resistant depression and poor response in early treatment for major depression: a resting-state fMRI study using fractional amplitude of low-frequency fluctuations. Translational Psychiatry, 6(3), e754. Younes, M., Azarbarzin, A., Reid, M., Mazzotti, D. R., & Redline, S. (2021). Characteristics and reproducibility of novel sleep EEG biomarkers and their variation with sleep apnea and insomnia in a large community-based cohort. Sleep, 44(10), zsab145. Zhiguo, W., & Yiru, F. (2014). Comorbidity of depressive and anxiety disorders: challenges in diagnosis and assessment. Shanghai Archives of Psychiatry, 26(4), 227. Zrenner, B., Zrenner, C., Gordon, P. C., Belardinelli, P., McDermott, E. J., Soekadar, S. R., . . . Müller-Dahlhaus, F. (2020). Brain oscillation-synchronized stimulation of the left dorsolateral prefrontal cortex in depression using real-time EEG-triggered TMS. Brain Stimulation, 13(1), 197-205.
指導教授	阮啟弘李正達(Chi-Hung Juan Cheng-Ta Li)	審核日期	2023-7-14
推文	facebook plurk twitter funp google live udn HD myshare reddit netvibes friend youpush delicious baidu
網路書籤	Google bookmarks del.icio.us hemidemi myshare

博碩士論文 106885003 詳細資訊